An evidence informed framework for artificial intelligence in rare breast cancers using small cohort validation synthetic data practices and clinical governance.
AI governance strategies using synthetic data may overcome data scarcity barriers, making AI tools viable for diagnosing rare breast cancers.
A governance framework for AI in rare breast cancers proposes synthetic data augmentation and small-cohort validation strategies to address data scarcity, enabling responsible AI clinical deployment in rare disease oncology. This record was retained from the prior triage attempt for PubMed pipeline handoff.
What the study was
- Study design
- narrative_review
- Category
- ai_diagnostics
- Maturity
- Validated
- Journal
- Discover Oncology
Why it surfaced
AI deployment framework for rare cancers addressing data scarcity; relevant to AI-diagnostics and rare disease precision oncology pipeline intersection.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.